Lead BI Analytics Engineer

Snap Finance•West Valley City, UT

About The Position

Are you passionate about transforming data into insight and impact? Snap Finance is redefining the future of financial technology through innovation, intelligence, and accessibility. We’re looking for a Lead BI Analytics Engineer to drive the next evolution of our analytics ecosystem — empowering teams through exceptional data visualization, robust data modeling, and smart BI platform optimization. If you live and breathe data, love clean models and beautiful dashboards, and want to push the boundaries of what’s possible in business intelligence (including responsible AI adoption), this role is for you.

Requirements

5+ years of experience in business intelligence engineering, data analytics, or a related technical field.
Deep expertise in SQL — capable of building, optimizing, and mentoring on complex query logic and data modeling.
Proficiency in Python for data processing, automation, and integration workflows.
Expert-level skills in Tableau and Excel — capable of creating dynamic dashboards, advanced formulas, pivot tables, macros, and interactive visualizations.
Proven experience in data modeling for analytics — star/snowflake schemas, semantic layers, and KPI standardization.
Strong experience working with business stakeholders to define KPIs, build requirements, and deliver insights that drive measurable outcomes.
Strong understanding of data architecture principles and how BI fits into the larger data ecosystem.
Curiosity and openness to AI and automation — an eagerness to apply emerging tools to make BI faster, smarter, and more scalable.
Excellent communication skills with the ability to translate complex data into clear, compelling business insights.
A leadership mindset that combines technical excellence with mentoring, collaboration, and the drive to raise team capability.

Nice To Haves

Experience with R or Shiny is a plus.

Responsibilities

Lead the design, development, and maintenance of high-impact BI dashboards and data visualizations that drive strategic decision-making across all levels of the business.
Collaborate closely with business stakeholders to translate business needs into technical requirements, define meaningful KPIs, and ensure insights align with company goals.
Architect and maintain scalable data models, ensuring performance, integrity, and usability across multiple data domains.
Write and optimize advanced SQL (Presto, PostgreSQL, or equivalent) for analysis, dashboard feeds, and automation pipelines.
Oversee and continuously improve our Tableau ecosystem (or equivalent BI platforms) — including governance, content strategy, performance optimization, and user enablement.
Use Python to automate workflows, enrich datasets, and build repeatable analytical frameworks.
Develop and maintain advanced Excel models and visualizations, integrating them with BI tools where appropriate for ad-hoc analysis and executive reporting.
Collaborate with Data Engineering, Analytics, and Product teams to align BI architecture with business needs and system capabilities.
Champion best practices in visualization design, storytelling, and performance tuning.
Evaluate and introduce AI-driven efficiencies within the BI space — from intelligent data preparation to automated insights — while maintaining technical rigor and human oversight.
Mentor analysts and BI developers, setting standards for data modeling, dashboard development, and analytical quality.
Ensure a culture of data trust, scalability, and continual improvement across the BI environment.